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2015 | OriginalPaper | Buchkapitel

9. Assessing Drivers of Vegetation Changes in Drylands from Time Series of Earth Observation Data

verfasst von : Rasmus Fensholt, Stephanie Horion, Torbern Tagesson, Andrea Ehammer, Kenneth Grogan, Feng Tian, Silvia Huber, Jan Verbesselt, Stephen D. Prince, Compton J. Tucker, Kjeld Rasmussen

Erschienen in: Remote Sensing Time Series

Verlag: Springer International Publishing

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Abstract

This chapter summarizes methods of inferring information about drivers of global dryland vegetation changes observed from remote sensing time series data covering from the 1980s until present time. Earth observation (EO) based time series of vegetation metrics, sea surface temperature (SST) (both from the AVHRR (Advanced Very High Resolution Radiometer) series of instruments) and precipitation data (blended satellite/rain gauge) are used for determining the mechanisms of observed changes. EO-based methods to better distinguish between climate and human induced (land use) vegetation changes are reviewed. The techniques presented include trend analysis based on the Rain-Use Efficiency (RUE) and the Residual Trend Analysis (RESTREND) and the methodological challenges related to the use of these. Finally, teleconnections between global sea surface temperature (SST) anomalies and dryland vegetation productivity are illustrated and the associated predictive capabilities are discussed.

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Vorheriges Kapitel Assessment of Vegetation Trends in Drylands from Time Series of Earth Observation Data

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Titel: Assessing Drivers of Vegetation Changes in Drylands from Time Series of Earth Observation Data
verfasst von: Rasmus Fensholt
Stephanie Horion
Torbern Tagesson
Andrea Ehammer
Kenneth Grogan
Feng Tian
Silvia Huber
Jan Verbesselt
Stephen D. Prince
Compton J. Tucker
Kjeld Rasmussen
Verlag: Springer International Publishing
Buch: Remote Sensing Time Series
Print ISBN: 978-3-319-15966-9

Electronic ISBN: 978-3-319-15967-6

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-15967-6_9

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